Merge branch 'main' into benank/main

Author: SBrandeis

docs/hub/datasets-dask.md

@@ -93,7 +93,7 @@ the `meta` argument to know the type of the new column in the meantime.
 
 When reading Parquet data from Hugging Face, Dask automatically leverages the metadata in Parquet files to skip entire files or row groups if they are not needed. For example if you apply a filter (predicate) on a Hugging Face Dataset in Parquet format or if you select a subset of the columns (projection), Dask will read the metadata of the Parquet files to discard the parts that are not needed without downloading them.
 
-This is possible thanks to a [reimplmentation of the Dask DataFrame API](https://docs.coiled.io/blog/dask-dataframe-is-fast.html?utm_source=hf-docs) to support query optimization, which makes Dask faster and more robust.
+This is possible thanks to a [reimplementation of the Dask DataFrame API](https://docs.coiled.io/blog/dask-dataframe-is-fast.html?utm_source=hf-docs) to support query optimization, which makes Dask faster and more robust.
 
 For example this subset of FineWeb-Edu contains many Parquet files. If you can filter the dataset to keep the text from recent CC dumps, Dask will skip most of the files and only download the data that match the filter:
 

docs/hub/fastai.md

@@ -14,7 +14,7 @@ All models on the Hub come up with the following features:
 
 ## Using existing models
 
-The `huggingface_hub` library is a lightweight Python client with utlity functions to download models from the Hub.
+The `huggingface_hub` library is a lightweight Python client with utility functions to download models from the Hub.
 
 ```bash
 pip install huggingface_hub["fastai"]

docs/hub/security-protectai.md

@@ -11,7 +11,7 @@ Interested in joining our security partnership / providing scanning information
 
 We partnered with Protect AI to provide scanning in order to make the Hub safer. The same way files are scanned by our internal scanning system, public repositories' files are scanned by Guardian.
 
-Our frontend has been redesigned specifically for this purpose, in order to accomodate for new scanners:
+Our frontend has been redesigned specifically for this purpose, in order to accommodate for new scanners:
 
 <img class="block" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/third-party-scans-list.png"/>
 

docs/hub/spaces-sdks-docker-tabby.md

@@ -6,7 +6,7 @@ In this guide, you will learn how to deploy your own Tabby instance and use it f
 
 ## Your first Tabby Space
 
-In this section, you will learn how to deploy a Tabby Space and use it for yourself or your orgnization.
+In this section, you will learn how to deploy a Tabby Space and use it for yourself or your organization.
 
 ### Deploy Tabby on Spaces
 

docs/inference-providers/_toctree.yml

@@ -19,6 +19,8 @@
     title: Cohere
   - local: providers/fal-ai
     title: Fal AI
+  - local: providers/featherless-ai
+    title: Featherless AI
   - local: providers/fireworks-ai
     title: Fireworks
   - local: providers/groq

docs/inference-providers/index.md

@@ -18,6 +18,7 @@ Here is the complete list of partners integrated with Inference Providers, and t
 | [Cerebras](./providers/cerebras)         |           ✅           |                       |                    |               |               |
 | [Cohere](./providers/cohere)             |           ✅           |           ✅           |                    |               |               |
 | [Fal AI](./providers/fal-ai)             |                       |                       |                    |       ✅       |       ✅       |
+| [Featherless AI](./providers/featherless-ai) |    ✅           |                        |                     |             |                |
 | [Fireworks](./providers/fireworks-ai)    |           ✅           |           ✅           |                    |               |               |
 | [Groq](./providers/groq)                  |           ✅           |                       |                    |               |               |
 | [HF Inference](./providers/hf-inference) |           ✅           |           ✅           |         ✅          |       ✅       |               |

docs/inference-providers/providers/featherless-ai.md

@@ -0,0 +1,71 @@
+<!---
+WARNING
+
+This markdown file has been generated from a script. Please do not edit it directly.
+
+### Template
+
+If you want to update the content related to featherless-ai's description, please edit the template file under `https://github.com/huggingface/hub-docs/tree/main/scripts/inference-providers/templates/providers/featherless-ai.handlebars`.
+
+### Logos
+
+If you want to update featherless-ai's logo, upload a file by opening a PR on https://huggingface.co/datasets/huggingface/documentation-images/tree/main/inference-providers/logos. Ping @wauplin and @celinah on the PR to let them know you uploaded a new logo.
+Logos must be in .png format and be named `featherless-ai-light.png` and `featherless-ai-dark.png`. Visit https://huggingface.co/settings/theme to switch between light and dark mode and check that the logos are displayed correctly.
+
+### Generation script
+
+For more details, check out the `generate.ts` script: https://github.com/huggingface/hub-docs/blob/main/scripts/inference-providers/scripts/generate.ts.
+--->
+
+# Featherless AI
+
+<div class="flex justify-center">
+    <a href="https://featherless.ai/" target="_blank">
+        <img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/inference-providers/logos/featherless-ai-light.png"/>
+        <img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/inference-providers/logos/featherless-ai-dark.png"/>
+    </a>
+</div>
+
+<div class="flex">
+    <a href="https://huggingface.co/featherless-ai" target="_blank">
+        <img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/follow-us-on-hf-lg.svg"/>
+        <img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/follow-us-on-hf-lg-dark.svg"/>
+    </a>
+</div>
+
+[Featherless AI](https://featherless.ai) is a serverless AI inference platform that offers access to thousands of open-source models. 
+
+Our goal is to make all AI models available for serverless inference. We provide inference via API to a continually expanding library of open-weight models.
+
+## Supported tasks
+
+
+### Chat Completion (LLM)
+
+Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
+
+<InferenceSnippet
+    pipeline=text-generation
+    providersMapping={ {"featherless-ai":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"deepseek-ai/DeepSeek-R1-0528"} } }
+conversational />
+
+
+### Chat Completion (VLM)
+
+Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
+
+<InferenceSnippet
+    pipeline=image-text-to-text
+    providersMapping={ {"featherless-ai":{"modelId":"allura-org/Gemma-3-Glitter-27B","providerModelId":"allura-org/Gemma-3-Glitter-27B"} } }
+conversational />
+
+
+### Text Generation
+
+Find out more about Text Generation [here](../tasks/text_generation).
+
+<InferenceSnippet
+    pipeline=text-generation
+    providersMapping={ {"featherless-ai":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"deepseek-ai/DeepSeek-R1-0528"} } }
+/>
+

docs/inference-providers/providers/hf-inference.md

@@ -38,163 +38,146 @@ If you are interested in deploying models to a dedicated and autoscaling infrast
 
 ## Supported tasks
 
-
 ### Automatic Speech Recognition
 
 Find out more about Automatic Speech Recognition [here](../tasks/automatic_speech_recognition).
 
 <InferenceSnippet
-    pipeline=automatic-speech-recognition
-    providersMapping={ {"hf-inference":{"modelId":"openai/whisper-large-v3","providerModelId":"openai/whisper-large-v3"} } }
+pipeline=automatic-speech-recognition
+providersMapping={ {"hf-inference":{"modelId":"openai/whisper-large-v3","providerModelId":"openai/whisper-large-v3"} } }
 />
 
-
 ### Chat Completion (LLM)
 
 Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
-    pipeline=text-generation
-    providersMapping={ {"hf-inference":{"modelId":"sarvamai/sarvam-m","providerModelId":"sarvamai/sarvam-m"} } }
+pipeline=text-generation
+providersMapping={ {"hf-inference":{"modelId":"sarvamai/sarvam-m","providerModelId":"sarvamai/sarvam-m"} } }
 conversational />
 
-
 ### Chat Completion (VLM)
 
 Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
-    pipeline=image-text-to-text
-    providersMapping={ {"hf-inference":{"modelId":"meta-llama/Llama-3.2-11B-Vision-Instruct","providerModelId":"meta-llama/Llama-3.2-11B-Vision-Instruct"} } }
+pipeline=image-text-to-text
+providersMapping={ {"hf-inference":{"modelId":"meta-llama/Llama-3.2-11B-Vision-Instruct","providerModelId":"meta-llama/Llama-3.2-11B-Vision-Instruct"} } }
 conversational />
 
-
 ### Feature Extraction
 
 Find out more about Feature Extraction [here](../tasks/feature_extraction).
 
 <InferenceSnippet
-    pipeline=feature-extraction
-    providersMapping={ {"hf-inference":{"modelId":"intfloat/multilingual-e5-large-instruct","providerModelId":"intfloat/multilingual-e5-large-instruct"} } }
+pipeline=feature-extraction
+providersMapping={ {"hf-inference":{"modelId":"intfloat/multilingual-e5-large-instruct","providerModelId":"intfloat/multilingual-e5-large-instruct"} } }
 />
 
-
 ### Fill Mask
 
 Find out more about Fill Mask [here](../tasks/fill_mask).
 
 <InferenceSnippet
-    pipeline=fill-mask
-    providersMapping={ {"hf-inference":{"modelId":"google-bert/bert-base-uncased","providerModelId":"google-bert/bert-base-uncased"} } }
+pipeline=fill-mask
+providersMapping={ {"hf-inference":{"modelId":"google-bert/bert-base-uncased","providerModelId":"google-bert/bert-base-uncased"} } }
 />
 
-
 ### Image Classification
 
 Find out more about Image Classification [here](../tasks/image_classification).
 
 <InferenceSnippet
-    pipeline=image-classification
-    providersMapping={ {"hf-inference":{"modelId":"Falconsai/nsfw_image_detection","providerModelId":"Falconsai/nsfw_image_detection"} } }
+pipeline=image-classification
+providersMapping={ {"hf-inference":{"modelId":"Falconsai/nsfw_image_detection","providerModelId":"Falconsai/nsfw_image_detection"} } }
 />
 
-
 ### Image Segmentation
 
 Find out more about Image Segmentation [here](../tasks/image_segmentation).
 
 <InferenceSnippet
-    pipeline=image-segmentation
-    providersMapping={ {"hf-inference":{"modelId":"mattmdjaga/segformer_b2_clothes","providerModelId":"mattmdjaga/segformer_b2_clothes"} } }
+pipeline=image-segmentation
+providersMapping={ {"hf-inference":{"modelId":"mattmdjaga/segformer_b2_clothes","providerModelId":"mattmdjaga/segformer_b2_clothes"} } }
 />
 
-
 ### Object Detection
 
 Find out more about Object Detection [here](../tasks/object_detection).
 
 <InferenceSnippet
-    pipeline=object-detection
-    providersMapping={ {"hf-inference":{"modelId":"facebook/detr-resnet-50","providerModelId":"facebook/detr-resnet-50"} } }
+pipeline=object-detection
+providersMapping={ {"hf-inference":{"modelId":"facebook/detr-resnet-50","providerModelId":"facebook/detr-resnet-50"} } }
 />
 
-
 ### Question Answering
 
 Find out more about Question Answering [here](../tasks/question_answering).
 
 <InferenceSnippet
-    pipeline=question-answering
-    providersMapping={ {"hf-inference":{"modelId":"deepset/roberta-base-squad2","providerModelId":"deepset/roberta-base-squad2"} } }
+pipeline=question-answering
+providersMapping={ {"hf-inference":{"modelId":"deepset/roberta-base-squad2","providerModelId":"deepset/roberta-base-squad2"} } }
 />
 
-
 ### Summarization
 
 Find out more about Summarization [here](../tasks/summarization).
 
 <InferenceSnippet
-    pipeline=summarization
-    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-cnn","providerModelId":"facebook/bart-large-cnn"} } }
+pipeline=summarization
+providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-cnn","providerModelId":"facebook/bart-large-cnn"} } }
 />
 
-
 ### Table Question Answering
 
 Find out more about Table Question Answering [here](../tasks/table_question_answering).
 
 <InferenceSnippet
-    pipeline=table-question-answering
-    providersMapping={ {"hf-inference":{"modelId":"google/tapas-base-finetuned-wtq","providerModelId":"google/tapas-base-finetuned-wtq"} } }
+pipeline=table-question-answering
+providersMapping={ {"hf-inference":{"modelId":"google/tapas-base-finetuned-wtq","providerModelId":"google/tapas-base-finetuned-wtq"} } }
 />
 
-
 ### Text Classification
 
 Find out more about Text Classification [here](../tasks/text_classification).
 
 <InferenceSnippet
-    pipeline=text-classification
-    providersMapping={ {"hf-inference":{"modelId":"distilbert/distilbert-base-uncased-finetuned-sst-2-english","providerModelId":"distilbert/distilbert-base-uncased-finetuned-sst-2-english"} } }
+pipeline=text-classification
+providersMapping={ {"hf-inference":{"modelId":"tabularisai/multilingual-sentiment-analysis","providerModelId":"tabularisai/multilingual-sentiment-analysis"} } }
 />
 
-
 ### Text Generation
 
 Find out more about Text Generation [here](../tasks/text_generation).
 
 <InferenceSnippet
-    pipeline=text-generation
-    providersMapping={ {"hf-inference":{"modelId":"sarvamai/sarvam-m","providerModelId":"sarvamai/sarvam-m"} } }
+pipeline=text-generation
+providersMapping={ {"hf-inference":{"modelId":"sarvamai/sarvam-m","providerModelId":"sarvamai/sarvam-m"} } }
 />
 
-
 ### Text To Image
 
 Find out more about Text To Image [here](../tasks/text_to_image).
 
 <InferenceSnippet
-    pipeline=text-to-image
-    providersMapping={ {"hf-inference":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/FLUX.1-dev"} } }
+pipeline=text-to-image
+providersMapping={ {"hf-inference":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/FLUX.1-dev"} } }
 />
 
-
 ### Token Classification
 
 Find out more about Token Classification [here](../tasks/token_classification).
 
 <InferenceSnippet
-    pipeline=token-classification
-    providersMapping={ {"hf-inference":{"modelId":"dslim/bert-base-NER","providerModelId":"dslim/bert-base-NER"} } }
+pipeline=token-classification
+providersMapping={ {"hf-inference":{"modelId":"dslim/bert-base-NER","providerModelId":"dslim/bert-base-NER"} } }
 />
 
-
 ### Translation
 
 Find out more about Translation [here](../tasks/translation).
 
 <InferenceSnippet
-    pipeline=translation
-    providersMapping={ {"hf-inference":{"modelId":"google-t5/t5-base","providerModelId":"google-t5/t5-base"} } }
+pipeline=translation
+providersMapping={ {"hf-inference":{"modelId":"google-t5/t5-base","providerModelId":"google-t5/t5-base"} } }
 />
-